Update app.py
Browse files
app.py
CHANGED
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@@ -1,27 +1,31 @@
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import os
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import gradio as gr
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from huggingface_hub import InferenceClient
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# Initialize the client pointing to MoonshotAI Kimi-K3
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# Automatically grabs the secret token from the Space environment
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client = InferenceClient(
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model="moonshotai/Kimi-K3",
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token=os.environ.get("HF_TOKEN")
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)
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def respond(message, chat_history):
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# Format system and chat history for the agentic model
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messages = [{"role": "system", "content": "You are Kimi-K3, a native multimodal agentic frontier model developed by Moonshot AI."}]
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for val in chat_history:
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if val
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messages.append({"role": "user", "content": val
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if val
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messages.append({"role": "assistant", "content": val
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messages.append({"role": "user", "content": message})
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# Stream the output chunks safely
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response = ""
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try:
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for message_chunk in client.chat_completion(
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@@ -31,14 +35,14 @@ def respond(message, chat_history):
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temperature=0.7,
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top_p=0.95,
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):
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token = message_chunk.choices
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if token:
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response += token
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yield response
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except Exception as e:
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yield f"Error calling Hugging Face Inference Provider: {str(e)}. Ensure your HF_TOKEN is configured correctly in Space Secrets."
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# Build
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demo = gr.ChatInterface(
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fn=respond,
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title="🤖 Kimi-K3 Demo Space",
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@@ -48,5 +52,6 @@ demo = gr.ChatInterface(
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)
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if __name__ == "__main__":
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demo.launch()
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-
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import os
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import gradio as gr
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from huggingface_hub import InferenceClient
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import spaces # Required by HF Spaces ZeroGPU detection
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# Dummy function — satisfies HF's startup GPU check.
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# This app uses remote API calls only, so no local GPU compute time is consumed.
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@spaces.GPU
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def dummy_gpu_probe():
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return "ZeroGPU Initialised"
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# Initialize the client pointing to MoonshotAI Kimi-K3
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client = InferenceClient(
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model="moonshotai/Kimi-K3",
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token=os.environ.get("HF_TOKEN")
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)
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def respond(message, chat_history):
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messages = [{"role": "system", "content": "You are Kimi-K3, a native multimodal agentic frontier model developed by Moonshot AI."}]
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for val in chat_history:
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if val:
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messages.append({"role": "user", "content": val})
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if val:
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messages.append({"role": "assistant", "content": val})
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messages.append({"role": "user", "content": message})
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response = ""
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try:
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for message_chunk in client.chat_completion(
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temperature=0.7,
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top_p=0.95,
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):
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token = message_chunk.choices.delta.content
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if token:
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response += token
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yield response
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except Exception as e:
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yield f"Error calling Hugging Face Inference Provider: {str(e)}. Ensure your HF_TOKEN is configured correctly in Space Secrets."
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# Build the Gradio interface
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demo = gr.ChatInterface(
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fn=respond,
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title="🤖 Kimi-K3 Demo Space",
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)
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if __name__ == "__main__":
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# Call the probe function once on startup to satisfy the HF verification framework
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dummy_gpu_probe()
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demo.launch()
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